Penerapan Deskriptor Warna Dominan untuk Temu Kembali Citra Busana pada Peranti Bergerak
Abstract: Nowadays,
clothes with various designs and color combinations are available for
purchasing through an online shop, which is mostly equipped with keyword-based
item retrieval. Here, the object in the online database is retrieved based on
the keyword inputted by the potential buyers. The keyword-based search may bring
potential customers on difficulties to describe the clothes they want to buy.
This paper presents a new searching approach, using an image instead of text,
as the query into an online shop. This method is known as content-based image
retrieval (CBIR). Particularly, we
focused on using color as the feature in our Muslimah clothes image retrieval.
The dominant color descriptor (DCD) extracts the wardrobe's color. Then, image
matching is accomplished by calculating the Euclidean distance between the
query and image in the database, and the last step is to evaluate the
performance of the DWD by calculating precision and recall. To determine the
performance of the DCD in extracting color features, the DCD is compared with
another color descriptor, that is dominant color correlogram descriptor (DCCD).
The values of precision and recall of DCD ranged from 0.7 to 0.9 while the
precision and recall of DCCD ranged from 0.7 to 0.8. These results showed that
the DCD produce a superior performance compared to DCCD in retrieving a set of
clothing image, either plain or patterned colored clothes.
Penulis: Yustina Dhyanti,
Khairul Munadi, Fitri Arnia
Kode Jurnal: jptlisetrodd160590
